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5Â¥2011-12-09 08:49:42
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1. User comments for news recommendation in forum-based social media ×÷Õß: Li, Q (Li, Qing); Wang, J (Wang, Jia); Chen, YP (Chen, Yuanzhu Peter)1; Lin, ZX (Lin, Zhangxi)2 À´Ô´³ö°æÎï: INFORMATION SCIENCES ¾í: 180 ÆÚ: 24 Ò³: 4929-4939 DOI: 10.1016/j.ins.2010.08.044 ³ö°æÄê: DEC 15 2010 ±»ÒýƵ´Î: 1 (À´×Ô Web of Science) ÒýÓõIJο¼ÎÄÏ×: 33 [ ²é¿´ Related Records ] ÒýÖ¤¹ØÏµÍ¼ ÕªÒª: News recommendation and user interaction are important features in many Web-based news services. The former helps users identify the most relevant news for further information. The latter enables collaborated information sharing among users with their comments following news postings. This research is intended to marry these two features together for an adaptive recommender system that utilizes reader comments to refine the recommendation of news in accordance with the evolving topic. This then turns the traditional "pushdata" type of news recommendation to "discussion" moderator that can intelligently assist online forums. In addition, to alleviate the problem of recommending essentially identical articles, the relationship (duplicate, generalization, or specialization) between recommended news articles and the original posting is investigated. Our experiments indicate that our proposed solutions provide an improved news recommendation service in forum-based social media. (C) 2010 Elsevier Inc. All rights reserved. ÎÄÏ×ÀàÐÍ: Article ÓïÖÖ: English ×÷Õ߹ؼü´Ê: News recommendation; Recommender system; Content-based filtering; Collaborative filtering; Social media; User comment; Information retrieval µØÖ·: 1. Mem Univ Newfoundland, St John, NF A1C 5S7, Canada 2. Texas Tech Univ, Lubbock, TX 79409 USA µç×ÓÓʼþµØÖ·: kooliqing@gmail.com »ù½ð×ÊÖúÖÂл: »ù½ð×ÊÖú»ú¹¹ ÊÚȨºÅ Scientific Research Starting Foundation for Returned Overseas Chinese Scholars National Natural Science Foundation of China (NSFC) 60803106 Fok Ying-Tong Education Foundation, China 121068 Natural Sciences and Engineering Research Council (NSERC) of Canada 303958-2010 [ÏÔʾ»ù½ð×ÊÖúÐÅÏ¢][Òþ²Ø»ù½ð×ÊÖúÐÅÏ¢] This work has been supported by the Scientific Research Starting Foundation for Returned Overseas Chinese Scholars, the National Natural Science Foundation of China (NSFC) (Grant No. 60803106), the Fok Ying-Tong Education Foundation, China (Grant No. 121068), and the Discovery Grants of Natural Sciences and Engineering Research Council (NSERC) of Canada (No. 303958-2010). ³ö°æÉÌ: ELSEVIER SCIENCE INC, 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA Web of Science ·ÖÀà: Computer Science, Information Systems ѧ¿ÆÀà±ð: Computer Science IDS ºÅ: 677DA ISSN: 0020-0255 2.ûÓÐSCI¼ìË÷ÐÅÏ¢¡£ [ Last edited by imyourkobe on 2011-12-9 at 10:12 ] |
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